Concrete quantum algorithm examples built with Qamomile.
Browse by tag¶
In this section: algorithm chemistry encoding error-correction machine-learning optimization primitive sample-based simulation variational
In other sections: integration resource-estimation tutorial usage
Hamiltonian Simulation with Suzuki–Trotter (Rabi oscillation)
Trotter–Suzuki product formulas on the Rabi model with empirical convergence orders.
End-to-end CNN + quantum variational circuit on Fashion-MNIST with the parameter shift rule.
Prepare an arbitrary real or complex amplitude vector via Gray-code Ry/Rz multiplexers, with three input modes (concrete, bound Vector[Float], runtime-parametric angles).
Implement multidimensional QFT and classical preprocessing for inputs whose grid sizes are not powers of two.
Solve a 20-variable MaxCut on just 3 qubits with Pauli Correlation Encoding, training a hardware-efficient ansatz against a tanh-relaxed surrogate and decoding via sign rounding.
End-to-end optimization example using OMMX, JijModeling, and QAOAConverter.
Build a QAOA circuit from scratch to solve MaxCut, then compare with the built-in qaoa_state.
Implement Quantum-enhanced MCMC using Trotter-decomposed time evolution.
Sample bitstrings from a quantum state, build an effective Hamiltonian, and diagonalize it classically with a strict variational guarantee.
3-qubit bit-flip/phase-flip codes, Shor's 9-qubit code, and stabilizers.
Use quantum feature maps and kernel methods for classification on the make_circles dataset.
CSS construction, syndrome decoding, and transversal Hadamard.
Variational Quantum Eigensolver (VQE) for the Hydrogen Molecule
Build a molecular Hamiltonian with OpenFermion and find the ground state energy via VQE.